





"""simple docstring"""


import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 							lowercase__			(   __snake_case					,     unittest.TestCase	):

			"""simple docstring"""
			__lowerCAmelCase     :				Optional[Any]										=  CodeGenTokenizer
			__lowerCAmelCase     :				Dict										=  CodeGenTokenizerFast
			__lowerCAmelCase     :				int										=  True
			__lowerCAmelCase     :				Tuple										=  {"""add_prefix_space""": True}
			__lowerCAmelCase     :				Dict										=  False







			def   _a      (      self    ):






									'''simple docstring'''







									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									UpperCamelCase				:		int				   =			[
									    """l""",
									    """o""",
									    """w""",
									    """e""",
									    """r""",
									    """s""",
									    """t""",
									    """i""",
									    """d""",
									    """n""",
									    """\u0120""",
									    """\u0120l""",
									    """\u0120n""",
									    """\u0120lo""",
									    """\u0120low""",
									    """er""",
									    """\u0120lowest""",
									    """\u0120newer""",
									    """\u0120wider""",
									    """<unk>""",
									    """<|endoftext|>""",
									]
									UpperCamelCase				:		Tuple				   =			dict(zip(__SCREAMING_SNAKE_CASE						,   range(len(__SCREAMING_SNAKE_CASE    )    )    )    )
									UpperCamelCase				:		Optional[Any]				   =			["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
									UpperCamelCase				:		int				   =			{"""unk_token""": """<unk>"""}

									UpperCamelCase				:		Tuple				   =			os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["""vocab_file"""]    )
									UpperCamelCase				:		Any				   =			os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["""merges_file"""]    )
									with open(self.vocab_file						,   """w"""						,   encoding="""utf-8"""    ) as fp:
															fp.write(json.dumps(__SCREAMING_SNAKE_CASE    ) + """\n"""    )
									with open(self.merges_file						,   """w"""						,   encoding="""utf-8"""    ) as fp:
															fp.write("""\n""".join(__SCREAMING_SNAKE_CASE    )    )







			def   _a      (      self						,   **_A    ):






									'''simple docstring'''







									kwargs.update(self.special_tokens_map    )
									return CodeGenTokenizer.from_pretrained(self.tmpdirname						,   **__SCREAMING_SNAKE_CASE    )







			def   _a      (      self						,   **_A    ):






									'''simple docstring'''







									kwargs.update(self.special_tokens_map    )
									return CodeGenTokenizerFast.from_pretrained(self.tmpdirname						,   **__SCREAMING_SNAKE_CASE    )







			def   _a      (      self						,   _A    ):






									'''simple docstring'''







									UpperCamelCase				:		Tuple				   =			"""lower newer"""
									UpperCamelCase				:		int				   =			"""lower newer"""
									return input_text, output_text







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		List[Any]				   =			CodeGenTokenizer(self.vocab_file						,   self.merges_file						,   **self.special_tokens_map    )
									UpperCamelCase				:		List[Any]				   =			"""lower newer"""
									UpperCamelCase				:		str				   =			["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
									UpperCamelCase				:		Dict				   =			tokenizer.tokenize(__SCREAMING_SNAKE_CASE						,   add_prefix_space=__SCREAMING_SNAKE_CASE    )
									self.assertListEqual(__SCREAMING_SNAKE_CASE						,   __SCREAMING_SNAKE_CASE    )

									UpperCamelCase				:		Optional[int]				   =			tokens + [tokenizer.unk_token]
									UpperCamelCase				:		List[Any]				   =			[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE    )						,   __SCREAMING_SNAKE_CASE    )







			def   _a      (      self    ):






									'''simple docstring'''







									if not self.test_rust_tokenizer:
															return

									UpperCamelCase				:		int				   =			self.get_tokenizer()
									UpperCamelCase				:		Union[str, Any]				   =			self.get_rust_tokenizer(add_prefix_space=__SCREAMING_SNAKE_CASE    )

									UpperCamelCase				:		Tuple				   =			"""lower newer"""

									# Testing tokenization
									UpperCamelCase				:		List[Any]				   =			tokenizer.tokenize(__SCREAMING_SNAKE_CASE						,   add_prefix_space=__SCREAMING_SNAKE_CASE    )
									UpperCamelCase				:		int				   =			rust_tokenizer.tokenize(__SCREAMING_SNAKE_CASE    )
									self.assertListEqual(__SCREAMING_SNAKE_CASE						,   __SCREAMING_SNAKE_CASE    )

									# Testing conversion to ids without special tokens
									UpperCamelCase				:		Dict				   =			tokenizer.encode(__SCREAMING_SNAKE_CASE						,   add_special_tokens=__SCREAMING_SNAKE_CASE						,   add_prefix_space=__SCREAMING_SNAKE_CASE    )
									UpperCamelCase				:		Optional[int]				   =			rust_tokenizer.encode(__SCREAMING_SNAKE_CASE						,   add_special_tokens=__SCREAMING_SNAKE_CASE    )
									self.assertListEqual(__SCREAMING_SNAKE_CASE						,   __SCREAMING_SNAKE_CASE    )

									# Testing conversion to ids with special tokens
									UpperCamelCase				:		Optional[int]				   =			self.get_rust_tokenizer(add_prefix_space=__SCREAMING_SNAKE_CASE    )
									UpperCamelCase				:		Tuple				   =			tokenizer.encode(__SCREAMING_SNAKE_CASE						,   add_prefix_space=__SCREAMING_SNAKE_CASE    )
									UpperCamelCase				:		Optional[int]				   =			rust_tokenizer.encode(__SCREAMING_SNAKE_CASE    )
									self.assertListEqual(__SCREAMING_SNAKE_CASE						,   __SCREAMING_SNAKE_CASE    )

									# Testing the unknown token
									UpperCamelCase				:		Tuple				   =			tokens + [rust_tokenizer.unk_token]
									UpperCamelCase				:		str				   =			[1_4, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
									self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE    )						,   __SCREAMING_SNAKE_CASE    )







			def   _a      (      self						,   *_A						,   **_A    ):






									'''simple docstring'''







									pass







			def   _a      (      self						,   _A=1_5    ):






									'''simple docstring'''







									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
																					UpperCamelCase				:		Dict				   =			self.rust_tokenizer_class.from_pretrained(__SCREAMING_SNAKE_CASE						,   **__SCREAMING_SNAKE_CASE    )

																					# Simple input
																					UpperCamelCase				:		Dict				   =			"""This is a simple input"""
																					UpperCamelCase				:		str				   =			["""This is a simple input 1""", """This is a simple input 2"""]
																					UpperCamelCase				:		Optional[int]				   =			("""This is a simple input""", """This is a pair""")
																					UpperCamelCase				:		Union[str, Any]				   =			[
																					    ("""This is a simple input 1""", """This is a simple input 2"""),
																					    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																					]

																					# Simple input tests
																					self.assertRaises(__SCREAMING_SNAKE_CASE						,   tokenizer_r.encode						,   __SCREAMING_SNAKE_CASE						,   max_length=__SCREAMING_SNAKE_CASE						,   padding="""max_length"""    )

																					# Simple input
																					self.assertRaises(__SCREAMING_SNAKE_CASE						,   tokenizer_r.encode_plus						,   __SCREAMING_SNAKE_CASE						,   max_length=__SCREAMING_SNAKE_CASE						,   padding="""max_length"""    )

																					# Simple input
																					self.assertRaises(
																					    __SCREAMING_SNAKE_CASE						,   tokenizer_r.batch_encode_plus						,   __SCREAMING_SNAKE_CASE						,   max_length=__SCREAMING_SNAKE_CASE						,   padding="""max_length"""						,   )

																					# Pair input
																					self.assertRaises(__SCREAMING_SNAKE_CASE						,   tokenizer_r.encode						,   __SCREAMING_SNAKE_CASE						,   max_length=__SCREAMING_SNAKE_CASE						,   padding="""max_length"""    )

																					# Pair input
																					self.assertRaises(__SCREAMING_SNAKE_CASE						,   tokenizer_r.encode_plus						,   __SCREAMING_SNAKE_CASE						,   max_length=__SCREAMING_SNAKE_CASE						,   padding="""max_length"""    )

																					# Pair input
																					self.assertRaises(
																					    __SCREAMING_SNAKE_CASE						,   tokenizer_r.batch_encode_plus						,   __SCREAMING_SNAKE_CASE						,   max_length=__SCREAMING_SNAKE_CASE						,   padding="""max_length"""						,   )







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Any				   =			CodeGenTokenizer.from_pretrained(self.tmpdirname						,   pad_token="""<pad>"""    )

									# Simple input
									UpperCamelCase				:		Tuple				   =			"""This is a simple input"""
									UpperCamelCase				:		Tuple				   =			["""This is a simple input looooooooong""", """This is a simple input"""]
									UpperCamelCase				:		int				   =			("""This is a simple input""", """This is a pair""")
									UpperCamelCase				:		Optional[int]				   =			[
									    ("""This is a simple input loooooong""", """This is a simple input"""),
									    ("""This is a simple pair loooooong""", """This is a simple pair"""),
									]

									UpperCamelCase				:		str				   =			tokenizer.pad_token_id

									UpperCamelCase				:		Optional[int]				   =			tokenizer(__SCREAMING_SNAKE_CASE						,   padding="""max_length"""						,   max_length=3_0						,   return_tensors="""np"""    )
									UpperCamelCase				:		int				   =			tokenizer(__SCREAMING_SNAKE_CASE						,   padding=__SCREAMING_SNAKE_CASE						,   truncate=__SCREAMING_SNAKE_CASE						,   return_tensors="""np"""    )
									UpperCamelCase				:		str				   =			tokenizer(*__SCREAMING_SNAKE_CASE						,   padding="""max_length"""						,   max_length=6_0						,   return_tensors="""np"""    )
									UpperCamelCase				:		Optional[int]				   =			tokenizer(__SCREAMING_SNAKE_CASE						,   padding=__SCREAMING_SNAKE_CASE						,   truncate=__SCREAMING_SNAKE_CASE						,   return_tensors="""np"""    )

									# s
									# test single string max_length padding
									self.assertEqual(out_s["""input_ids"""].shape[-1]						,   3_0    )
									self.assertTrue(pad_token_id in out_s["""input_ids"""]    )
									self.assertTrue(0 in out_s["""attention_mask"""]    )

									# s2
									# test automatic padding
									self.assertEqual(out_sa["""input_ids"""].shape[-1]						,   3_3    )
									# long slice doesn't have padding
									self.assertFalse(pad_token_id in out_sa["""input_ids"""][0]    )
									self.assertFalse(0 in out_sa["""attention_mask"""][0]    )
									# short slice does have padding
									self.assertTrue(pad_token_id in out_sa["""input_ids"""][1]    )
									self.assertTrue(0 in out_sa["""attention_mask"""][1]    )

									# p
									# test single pair max_length padding
									self.assertEqual(out_p["""input_ids"""].shape[-1]						,   6_0    )
									self.assertTrue(pad_token_id in out_p["""input_ids"""]    )
									self.assertTrue(0 in out_p["""attention_mask"""]    )

									# p2
									# test automatic padding pair
									self.assertEqual(out_pa["""input_ids"""].shape[-1]						,   5_2    )
									# long slice pair doesn't have padding
									self.assertFalse(pad_token_id in out_pa["""input_ids"""][0]    )
									self.assertFalse(0 in out_pa["""attention_mask"""][0]    )
									# short slice pair does have padding
									self.assertTrue(pad_token_id in out_pa["""input_ids"""][1]    )
									self.assertTrue(0 in out_pa["""attention_mask"""][1]    )







			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Dict				   =			"""$$$"""
									UpperCamelCase				:		Optional[Any]				   =			CodeGenTokenizer.from_pretrained(self.tmpdirname						,   bos_token=__SCREAMING_SNAKE_CASE						,   add_bos_token=__SCREAMING_SNAKE_CASE    )

									UpperCamelCase				:		List[str]				   =			"""This is a simple input"""
									UpperCamelCase				:		Any				   =			["""This is a simple input 1""", """This is a simple input 2"""]

									UpperCamelCase				:		str				   =			tokenizer.bos_token_id

									UpperCamelCase				:		List[str]				   =			tokenizer(__SCREAMING_SNAKE_CASE    )
									UpperCamelCase				:		List[Any]				   =			tokenizer(__SCREAMING_SNAKE_CASE    )

									self.assertEqual(out_s.input_ids[0]						,   __SCREAMING_SNAKE_CASE    )
									self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids    )    )

									UpperCamelCase				:		Any				   =			tokenizer.decode(out_s.input_ids    )
									UpperCamelCase				:		Dict				   =			tokenizer.batch_decode(out_sa.input_ids    )

									self.assertEqual(decode_s.split()[0]						,   __SCREAMING_SNAKE_CASE    )
									self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa    )    )







			@slow
			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		str				   =			CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""    )

									UpperCamelCase				:		Optional[int]				   =			"""\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
									UpperCamelCase				:		Dict				   =			"""\nif len_a > len_b:      result = a\nelse:      result = b"""

									UpperCamelCase				:		Any				   =			tokenizer.encode(__SCREAMING_SNAKE_CASE    )
									UpperCamelCase				:		Union[str, Any]				   =			["""^#""", re.escape("""<|endoftext|>"""    ), """^\'\'\'""", """^\"\"\"""", """\n\n\n"""]
									UpperCamelCase				:		Any				   =			tokenizer.decode(__SCREAMING_SNAKE_CASE						,   truncate_before_pattern=__SCREAMING_SNAKE_CASE    )
									self.assertEqual(__SCREAMING_SNAKE_CASE						,   __SCREAMING_SNAKE_CASE    )







			def   _a      (      self    ):






									'''simple docstring'''







									pass











"""simple docstring"""





def 	lowerCamelCase__			(				_lowerCamelCase			:						int = 10						,							_lowerCamelCase			:						int = 1000						,							_lowerCamelCase			:						bool = True					) ->							int:
  assert (
      isinstance(_lowerCamelCase						,							_lowerCamelCase					)
      and isinstance(_lowerCamelCase						,							_lowerCamelCase					)
      and isinstance(_lowerCamelCase						,							_lowerCamelCase					)
  ), "Invalid type of value(s) specified to function!"

  if min_val > max_val:
    raise ValueError('Invalid value for min_val or max_val (min_value < max_value)'					)
  return min_val if option else max_val







def 	lowerCamelCase__			(				_lowerCamelCase			:						int						,							_lowerCamelCase			:						int					) ->							int:
  return int((number_a + number_a) / 2					)







def 	lowerCamelCase__			(				_lowerCamelCase			:						int						,							_lowerCamelCase			:						int						,							_lowerCamelCase			:						int					) ->							None:
  assert (
      isinstance(_lowerCamelCase						,							_lowerCamelCase					) and isinstance(_lowerCamelCase						,							_lowerCamelCase					) and isinstance(_lowerCamelCase						,							_lowerCamelCase					)
  ), 'argument values must be type of "int"'

  if lower > higher:
    raise ValueError('argument value for lower and higher must be(lower > higher)'					)

  if not lower < to_guess < higher:
    raise ValueError(
        'guess value must be within the range of lower and higher value'					)

  def answer(_lowerCamelCase			:						int					) -> str:
    if number > to_guess:
      return "high"
    elif number < to_guess:
      return "low"
    else:
      return "same"

  print('started...'					)

  lowerCamelCase_       	=		lower
  lowerCamelCase_       	=		higher

  lowerCamelCase_       	=		[]

  while True:
    lowerCamelCase_       	=		get_avg(_lowerCamelCase						,							_lowerCamelCase					)
    last_numbers.append(_lowerCamelCase					)

    if answer(_lowerCamelCase					) == "low":
      lowerCamelCase_       	=		number
    elif answer(_lowerCamelCase					) == "high":
      lowerCamelCase_       	=		number
    else:
      break

  print(F'''guess the number : {last_numbers[-1]}'''					)
  print(F'''details : {last_numbers!s}'''					)







def 	lowerCamelCase__			(				) ->							None:
  lowerCamelCase_       	=		int(input('Enter lower value : '					).strip()					)
  lowerCamelCase_       	=		int(input('Enter high value : '					).strip()					)
  lowerCamelCase_       	=		int(input('Enter value to guess : '					).strip()					)
  guess_the_number(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)


if __name__ == "__main__":
  main()




